Overview
Creating a Clearer View of the Data Architecture
A focused engagement that evaluates the effectiveness of the organization’s data architecture in supporting analytics, operational reporting, and emerging AI initiatives. The review examines data domains, integration patterns, data flows, and platform components to identify structural gaps, fragmentation, and architectural risks. It also assesses how data ownership and architecture support business needs and information accessibility. The outcome is a set of practical recommendations to improve data architecture coherence, strengthen data foundations, and enable more effective use of data across the organization.
What We Do
Review data domains, ownership, and structure
Assess integration patterns and data flows
Evaluate data platforms and architecture components
Identify fragmentation, duplication, and risks
Deliverable
Data Architecture Review Report including:
- Data Architecture Assessment
- Key Risks and Improvement Areas
- Priority Architecture Recommendations
Cost